Senior Analyst, Measurement & Attribution

Overview

Job Description: Merkle is a leading technology-enabled, data-driven customer experience management (CXM) company. For over 30 years, Fortune 1,000 companies and leading nonprofit organizations have partnered with us to build and maximize the value of their customer portfolios. We are champions for meaningful progress and we strive to be a force for good—for our people, for our clients, for the industry and for our society.

We keep our people at the center, creating space for growth, understanding and learning so they can thrive. We embed diversity, in our mindset, in our solutions and in our teams to empower an inclusive, equitable and culturally fluent environment. Building this culture within our teams makes us better collaborators with each other and with our clients, driving better outcomes for all.

Merkle is an agency of dentsu.

As a Senior Analyst, Measurement & Attribution, you will play an important role in our US-based attribution modeling capabilities. Reporting into the Senior Manager, you will use data science techniques to examine marketing activities and to estimate their growth to our clients. These projects will include Media Mix Optimization or Marketing Mix Modeling, Analysis of Covariance (test and control), Cluster Analysis, and Attribution Modeling of disaggregate event-stream data.

You will be hands-on keyboard building and revise code and inspire creativity.

To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.

• Manage data collection with clients
• Develop reports and processes to ensure data quality control
• Promote innovation in analytics to exceed client expectations
• Implement and refine attribution models
• Interpret and visualize model estimates and diagnostics
• Champion continuous improvement and strategic evolution

• Bachelor’s degree in at least one of these fields preferred: statistics, economics, applied mathematics, optimization, computer science, physics; (preference for advanced degree).
• 2 years of experience applying analytics to measure marketing effectiveness with a focus on measurement and attribution
• Experience working with and measuring TV, digital media, and CRM data
• Knowledge of statistics/data science, including regression, hierarchical or mixed regression, and machine learning techniques (I.e., Naïve Bayes, Markov Chain, Random Forest)
• Advanced modeling skills with Python and R
• Cloud environment experience, especially GCP and AWS
• Experience working with platforms like Databricks (advantageous if you have this)
• Data visualization experience with tools like Tableau or Power BI (advantageous if you have this)
• Understanding of marketing goals and how different media channels support these goals
• Experience presenting information in spoken, written or visual form to a variety of audiences, from our teams to external client teams
• Experience with collaboration with teammates, especially global teams, to share insights and techniques

The annual salary range for this position is $78,000-$126,500. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.

• Medical, vision, and dental insurance
• Life insurance
• Short-term and long-term disability insurance
• 401k
• Flexible paid time off
• At least 15 paid holidays per year
• Paid sick and safe leave
• Paid parental leave

Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit [link].

Location:

New York. Brand:
Merkle. Time Type:
Full time. Contract Type:
Permanent. At dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one…